tingly-box

README

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Tingly Box

Quick Start • Features • Integration • Documentation • Issues

Tingly Box serves agents, coordinates AI models, optimizes context, and routes requests for maximum efficiency — with built-in remote control and secure, customizable integrations.

Key Features

• Agent-First Model Gateway – Unified endpoint for agents — seamlessly bridge OpenAI, Anthropic, Google Gemini, and more with automatic protocol translation and native agent compatibility
• Agent Integration – One-click config for Claude Code, OpenCode, Codex, Xcode, and more — transparent proxying for SDKs and CLI tools
• Agent Profiles - Run agent like Claude Code with individual profiles, each profile can work with different model and agent config
• Remote Control via IM Bots – Control AI agents remotely through Telegram, DingTalk, Feishu, Lark, Weixin, WeCom, Slack, and Discord
• Multi-Tenant API Tokens – Isolate data per user with dedicated API tokens — each user gets their own usage tracking, provider access, and configuration
• Smart Routing Engine – Intelligently route requests across models and tokens based on cost, speed, or custom policies — far beyond simple load balancing
• Flexible Authentication – Support for both API keys and OAuth providers (Claude.ai, Codex, etc.) — use your existing quotas anywhere
• Visual Control Plane – Intuitive web UI to manage providers, routes, aliases, models, and remote bots at a glance — no config files needed
• Client-Side Usage Analytics – Track token consumption, latency, cost estimates, and model selection per request — directly from your client
• Blazing Fast Performance – Adds typically < 1ms of overhead — get flexibility without latency tax

Quick Start

English | 中文

Install

From npm (recommended)

# Install and run (auto restart, migrate and open webui while run without any args)
# A golang binary release but npx to wrap cli for convenience
npx tingly-box@latest

# or -y for convenience
npx -y tingly-box@latest

# if any network trouble, try bundle with binary built-in
npx -y tingly-box-bundle@latest

# npm mirror is supported for CN (one of below)
npx --registry=https://registry.npmmirror.com -y tingly-box-bundle@latest
npx --registry=https://mirrors.huaweicloud.com/repository/npm/ -y tingly-box-bundle@latest
npx --registry=http://mirrors.tencent.com/npm/ -y tingly-box-bundle@latest

if any trouble, please check tingly-box output, or call for an issue to help.

From Docker (GitHub Host)

mkdir tingly-data
docker run -d \
  --name tingly-box \
  -p 12580:12580 \
  -v `pwd`/tingly-data:/home/tingly/.tingly-box \
  ghcr.io/tingly-dev/tingly-box

From Docker Compose (Recommend for isolated env)

# Build and start in detached mode
docker-compose up -d

# View logs
docker-compose logs -f tingly-box

# Stop services
docker-compose down

# Access Web UI at http://localhost:12581
# (Note: Port 12581 is used to avoid conflict with host tingly on 12580)

Integration Guide

Agent Integration - Claude Code / Claude Desktop / OpenCode / Codex / Xcode / VSCode / OpenClaw

• Claude Code (support 1-click config)
• OpenCode (support 1-click config)
• Xcode (require manual config)
• ……

Any application is ready to use.

We've provided detailed config guide in application

DeepSeek Best Compatibility

DeepSeek is optimized for mainstream agent workflows, offering broad compatibility across protocol adapters, agent clients, extended context, vision, web search, and cache optimization.

Module	Status	What It Solves
Model List	✅ Supported	Keeps the official model list up to date in real time
Protocol Adaptation	✅ Supported	Supports official Anthropic/OpenAI APIs with bidirectional conversion
Reasoning Capability	✅ Supported	Provides compatibility with Thinking workflows
Cache Hit Optimization	✅ Supported	Improves cache hit rates for DeepSeek requests
Vision Proxy	✅ Supported	Enables DeepSeek to understand and process images
Web Search	✅ Supported	Calls official Web tools through the Anthropic endpoint
1M Context Window	✅ Supported	Enables one-click setup for 1M context
Codex Adaptation	✅ Supported	Ensures compatibility with mainstream agent workflows
Claude Code / Desktop Adaptation	✅ Supported	Ensures compatibility with mainstream agent workflows

Supports one-click configuration where available. For applications that require manual setup, detailed in-app configuration guides are provided.

Any compatible application is ready to use.

Detailed configuration guides are available inside each application.

Remote Control Agent via IM Bots - TG / DingTalk / Feishu / Lark / Weixin / WecCom

Tingly Box now supports remote control through popular IM platforms. Interact with your AI agents remotely without direct server access.

Supported Platforms

• ✅ Telegram
• ✅ DingTalk
• ✅ Feishu
• ✅ Lark
• ✅ Weixin
• ✅ WeCom

Quick Setup

1. Open Web UI like http://localhost:12580
2. Navigate to Remote section
3. Configure your preferred IM platform bot
4. Start interacting with your agents remotely

Use Cases

• Execute tasks and queries from your phone or any device
• Team collaboration with shared agent access
• Monitor and control agents while away from your workstation

OpenAI SDK

from openai import OpenAI

client = OpenAI(
    api_key="your-tingly-model-token",
    base_url="http://localhost:12580/tingly/openai/v1"
)

response = client.chat.completions.create(
    model="tingly-gpt",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response)

Anthropic SDK

from anthropic import Anthropic

client = Anthropic(
    api_key="your-tingly-model-token",
    base_url="http://localhost:12580/tingly/anthropic"
)

response = client.messages.create(
    model="tingly",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response)

Tingly Box proxies requests transparently for SDKs and CLI tools.

Using OAuth Providers

You can also add OAuth providers (like Claude Code) and use your existing quota in any OpenAI-compatible tool:

# 1. Add Claude Code via OAuth in Web UI (http://localhost:12580)
# 2. Configure your tool with Tingly Box endpoint

Requests route through your OAuth-authorized provider, using your existing Claude Code quota instead of requiring a separate API key.

This works with any tool that supports OpenAI-compatible endpoints: Cherry Studio, VS Code extensions, or custom AI agents.

Web Management UI

Launch the web management interface:

npx tingly-box@latest

Then open http://localhost:12580 in your browser.

Documentation

User Manual – Installation, configuration, and operational guide

Guardrails – Policy-based safety checks, built-in protections, and protected credential masking

MCP Web Tools – Local stdio MCP server for web_search / web_fetch

Contributing

By contributing to this repository, you agree that your contributions may be included in this project under the MPL-2.0 and may also be used by Tingly Inc. under separate commercial licensing terms.

See CONTRIBUTING.md and NOTICE for details.

---

We welcome contributions! Check the steps below to build from source code.

Contributing Guide — Build & Dev

Prerequisites

Tool	Version	Install
Go	1.26+	https://go.dev/doc/install
Node.js	20+	https://nodejs.org/
pnpm	latest	npm install -g pnpm
task	latest	go install github.com/go-task/task/v3/cmd/task@latest or https://taskfile.dev/installation/

Tip: you can also copy individual shell commands out of Taskfile.yml and run them directly if you prefer not to install task.

1. Clone and init submodules

git clone https://github.com/tingly-dev/tingly-box.git
cd tingly-box
git submodule update --init --recursive

2. Frontend development

The frontend is a React + Vite app located in frontend/. You can work on it independently of the Go backend.

Login token: the frontend requires an auth token to log in. When the backend starts it prints the full login URL (e.g. Web UI: http://localhost:12580/login/<token>). If you need to retrieve it later, run:

tingly-box token view auth --reveal

Mock mode – no running backend required, uses built-in fixture data:

task web:mock
# or directly:
cd frontend && pnpm install && pnpm dev:mock

Open http://localhost:9245 in your browser. Use the token obtained above to log in.

Dev mode – proxies API calls to a local backend (start the backend first, see step 3):

task web
# or directly:
cd frontend && pnpm install && pnpm dev

3. Backend development

Run the Go server (hot-reload via go run):

task start
# or directly:
go run ./cli/tingly-box --verbose start --debug --port 12580 --browser=false

Open http://localhost:12580 in your browser (serves the last built frontend bundle).

4. Full build (frontend + backend binary)

Builds the frontend, embeds it into the binary, then compiles Go:

task build

The output binary is written to ./build/tingly-box.

5. GUI binary (Wails) (optional)

The GUI build is not yet publicly released. Skip this step unless you are specifically working on the desktop app.

task wails:build

Other useful commands

task swagger        # Regenerate openapi.json from Go source
task codegen        # Regenerate frontend API client from openapi.json
task go:test        # Run Go unit tests

Support

Telegram	Wechat
https://t.me/+V1sqeajw1pYwMzU1	tingly-box

Early Contributors

Special badges are minted to recognize the contributions from following contributors:

Contributors

License

This project is available under:

• MPL-2.0 · © Tingly Dev – See LICENSE.txt
• Commercial License · © Tingly Dev – See LICENSE-COMMERCIAL.txt

For commercial licensing inquiries, contact biz@tingly.dev.